Index

A

abs() (WeightedTensor method) AbstractAttributes (class in leaspy.models.utils.attributes.abstract_attributes) AbstractDataframeDataReader (class in leaspy.io.data) (class in leaspy.io.data.abstract_dataframe_data_reader) AbstractIndividualSampler (class in leaspy.samplers) (class in leaspy.samplers.base) AbstractManifoldModelAttributes (class in leaspy.models.utils.attributes.abstract_manifold_model_attributes) AbstractPopulationGibbsSampler (class in leaspy.samplers.gibbs) AbstractPopulationSampler (class in leaspy.samplers) (class in leaspy.samplers.base) AbstractSampler (class in leaspy.samplers) (class in leaspy.samplers.base) AbstractWeibullRightCensoredFamily (class in leaspy.variables.distributions) AbstractWeibullRightCensoredObservationModel (class in leaspy.models.obs_models) acceptation_history (AbstractSampler attribute), [1] acceptation_history_length (AbstractSampler attribute), [1] add_cofactors() (IndividualData method), [1] add_covariates() (IndividualData method), [1] add_event() (IndividualData method), [1] add_individual_parameters() (IndividualParameters method), [1] add_observations() (IndividualData method), [1] algo_default_data_dir (in module leaspy.algo) (in module leaspy.algo.settings) algo_parameters (BaseAlgorithm attribute), [1] algorithm_device (AlgorithmWithDeviceMixin attribute) algorithm_factory() (in module leaspy.algo) (in module leaspy.algo.base)

algorithm_initialization_method (AlgorithmSettings attribute), [1] AlgorithmName (class in leaspy.algo) (class in leaspy.algo.base) AlgorithmSettings (class in leaspy.algo) (class in leaspy.algo.settings) AlgorithmType (class in leaspy.algo) (class in leaspy.algo.base) AlgorithmWithAnnealingMixin (class in leaspy.algo.algo_with_annealing) AlgorithmWithDeviceMixin (class in leaspy.algo.algo_with_device) AlgorithmWithSamplersMixin (class in leaspy.algo.algo_with_samplers) all() (WeightedTensor method) alpha (Plotting attribute), [1] ALZHEIMER (DatasetName attribute), [1] annealing_on (AlgorithmWithAnnealingMixin attribute) API are_variables_set() (State method) arg_constraints (MultinomialCdfDistribution attribute) (MultinomialDistribution attribute) Attachment attributes() (AttributesFactory class method) AttributesFactory (class in leaspy.models.utils.attributes) auto_fork() (State method) auto_fork_type (State attribute) AUTOMATIC_VARS (NamedVariables attribute) average_trajectory() (Plotting method), [1]

B

BaseAlgorithm (class in leaspy.algo) (class in leaspy.algo.base) BaseModel (class in leaspy.models) (class in leaspy.models.base) Bernoulli (in module leaspy.variables.distributions) BERNOULLI (ObservationModelNames attribute)

BernoulliFamily (class in leaspy.variables.distributions) BernoulliObservationModel (class in leaspy.models.obs_models) betas (AbstractManifoldModelAttributes attribute) Biomarker bound_to() (NamedInputFunction static method) (SymbolicDistribution class method)

C

Calibration call() (NamedInputFunction method) cdf (MultinomialCdfDistribution attribute) check_consistency() (AlgorithmSettings method), [1] check_keys (FilteredMappingProxy attribute) CIF clear() (State method) clone() (State method) cofactors (Data property), [1] (IndividualData attribute), [1] Collect (class in leaspy.variables.specs) collin_to_d_gamma_t0() (SharedSpeedLogisticModel static method), [1] color_palette (Plotting attribute), [1] colors() (Plotting method), [1] compute() (IndepVariable method) (LinkedVariable method) (VariableInterface method) compute_hazard() (AbstractWeibullRightCensoredFamily class method) compute_ind_param_mean_from_suff_stats_mixture() (in module leaspy.models.utilities) compute_ind_param_std_from_suff_stats_mixture() (in module leaspy.models.utilities) compute_ind_param_std_from_suff_stats_mixture_burn_in() (in module leaspy.models.utilities) compute_individual_ages_from_biomarker_values() (TimeReparametrizedModel method), [1] compute_individual_ages_from_biomarker_values_tensorized() (TimeReparametrizedModel method), [1] compute_individual_parameter_std_from_sufficient_statistics() (in module leaspy.variables.utilities) compute_individual_trajectory() (BaseModel method), [1] (ConstantModel method), [1] (JointModel method), [1] (LMEModel method), [1] (McmcSaemCompatibleModel method), [1] compute_jacobian_tensorized() (McmcSaemCompatibleModel method), [1] compute_linear_regression_subjects() (in module leaspy.models.utilities) compute_log_likelihood_hazard() (AbstractWeibullRightCensoredFamily class method) compute_log_survival() (AbstractWeibullRightCensoredFamily class method) compute_mean_traj() (McmcSaemCompatibleModel method), [1]

compute_mode_traj() (McmcSaemCompatibleModel method), [1] compute_ordinal_pdf_from_ordinal_sf() (in module leaspy.utils.distributions) compute_orthonormal_basis() (in module leaspy.utils.linalg) compute_patient_slopes_distribution() (in module leaspy.models.utilities) compute_patient_time_distribution() (in module leaspy.models.utilities) compute_patient_values_distribution() (in module leaspy.models.utilities) compute_predictions() (AbstractWeibullRightCensoredFamily class method) compute_prior_trajectory() (McmcSaemCompatibleModel method), [1] compute_probs_from_state() (in module leaspy.models.utilities) compute_rmse() (FullGaussianObservationModel class method) compute_rmse_per_ft() (FullGaussianObservationModel class method) compute_sorted_children_and_ancestors() (VariablesDAG static method), [1] compute_std_from_variance() (in module leaspy.models.utilities) compute_sufficient_statistics() (McmcSaemCompatibleModel class method), [1] (RiemanianManifoldMixtureModel class method) (RiemanianManifoldModel class method), [1] compute_topological_order_and_path_matrix() (VariablesDAG static method), [1] compute_update() (ModelParameter method) CONSTANT (ModelName attribute), [1] ConstantModel (class in leaspy.models) (class in leaspy.models.constant) ConstantPredictionAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.constant_prediction_algo) constants (in module leaspy.constants) COPY (StateForkType attribute) COVARIATE (DataframeDataReaderNames attribute), [1] covariate_names (CovariateDataframeDataReader attribute) (Data attribute), [1] (Dataset attribute), [1] CovariateDataframeDataReader (class in leaspy.io.data.covariate_dataframe_data_reader) covariates (Dataset attribute), [1] (IndividualData attribute), [1] cpu() (WeightedTensor method) current_iteration (AlgorithmWithSamplersMixin attribute) (IterativeAlgorithm attribute)

D

dag (State attribute) (StatefulModel property), [1] Data (class in leaspy.io.data) (class in leaspy.io.data.data) data (Result attribute), [1] DATAFRAME (VisitType attribute) dataframe_data_reader_factory() (in module leaspy.io.data) (in module leaspy.io.data.factory) DataframeDataReaderFactoryInput (in module leaspy.io.data) (in module leaspy.io.data.factory) DataframeDataReaderNames (class in leaspy.io.data) (class in leaspy.io.data.factory) Dataset (class in leaspy.io.data) (class in leaspy.io.data.dataset) DatasetName (class in leaspy.datasets) (class in leaspy.datasets.loader) DataVariable (class in leaspy.variables.specs) dedicated_variables (Collect attribute) DEFAULT (InitializationMethod attribute) DEFAULT_FORMAT_CONVERGENCE_ISSUES (ScipyMinimizeAlgorithm attribute), [1] default_init() (WeibullRightCensoredObservationModel class method) (WeibullRightCensoredWithSourcesObservationModel class method) DEFAULT_INIT_DOC (in module leaspy.utils.docs) DEFAULT_LOGS_DIR (OutputsSettings attribute), [1] DEFAULT_SCIPY_MINIMIZE_PARAMS_WITH_JACOBIAN (ScipyMinimizeAlgorithm attribute), [1] DEFAULT_SCIPY_MINIMIZE_PARAMS_WITHOUT_JACOBIAN (ScipyMinimizeAlgorithm attribute), [1] deltas (LogisticParallelAttributes attribute), [1] deltas_exp() (SharedSpeedLogisticModel static method), [1] denom() (SharedSpeedLogisticModel static method), [1] deterministic (BaseAlgorithm attribute), [1] (ConstantPredictionAlgorithm attribute), [1] (LMEPersonalizeAlgorithm attribute), [1]

device (WeightedTensor property) diagonal_noise_std_update() (FullGaussianObservationModel class method) DictParams (in module leaspy.utils.typing) DictParamsTorch (in module leaspy.utils.typing) dimension (AbstractAttributes attribute) (BaseModel property), [1] (Data property), [1] (Dataset attribute), [1] (JointDataframeDataReader property), [1] (LMEModel attribute), [1] (ModelInterface property), [1] (VisitDataframeDataReader property), [1] direct_ancestors (VariablesDAG attribute), [1] direct_children (VariablesDAG attribute), [1] discrete_sf_from_pdf() (in module leaspy.utils.distributions) dist (ObservationModel attribute) dist_factory (BernoulliFamily attribute) (MultivariateNormalFamily attribute) (NormalFamily attribute) (StatelessDistributionFamilyFromTorchDistribution attribute) dist_factory() (MixtureNormalFamily class method) dist_family (SymbolicDistribution attribute) dist_weibull (AbstractWeibullRightCensoredFamily attribute) doc_with() (in module leaspy.utils.docs) doc_with_() (in module leaspy.utils.docs) doc_with_super() (in module leaspy.utils.docs) dtype (in module leaspy) (WeightedTensor property)

E

estimate() (BaseModel method), [1] (ModelInterface method), [1] Estimation EVENT (DataframeDataReaderNames attribute), [1] event_bool (Dataset attribute), [1] (IndividualData attribute), [1] event_bool_name (Data attribute), [1] (Dataset attribute), [1] (EventDataframeDataReader attribute), [1] (JointDataframeDataReader property), [1] event_reader (JointDataframeDataReader attribute), [1] event_time (Dataset attribute), [1] (IndividualData attribute), [1] event_time_name (Data attribute), [1] (Dataset attribute), [1] (EventDataframeDataReader attribute), [1] (JointDataframeDataReader property), [1]

EventDataframeDataReader (class in leaspy.io.data) (class in leaspy.io.data.event_dataframe_data_reader) existing_variables (Collect attribute) Exp (in module leaspy.utils.functional) expand() (WeightedTensor method) expand_left() (in module leaspy.utils.weighted_tensor) expand_right() (in module leaspy.utils.weighted_tensor) extra_vars (ObservationModel attribute) extract_cluster_parameters() (MixtureNormalFamily class method) extract_longitudinal_only() (Data method), [1] extract_n_clusters() (MixtureNormalFamily class method) extract_probs() (MixtureNormalFamily class method)

F

f (LinkedVariable attribute) (NamedInputFunction attribute) factory_weighted_tensor_unary_operator() (in module leaspy.utils.weighted_tensor) family (BaseAlgorithm attribute), [1] (FitAlgorithm attribute), [1] (PersonalizeAlgorithm attribute), [1] (SimulationAlgorithm attribute) features (BaseModel property), [1] (ModelInterface property), [1] (SimulationAlgorithm attribute) FeatureType (in module leaspy.utils.typing) filled() (WeightedTensor method) FilteredMappingProxy (class in leaspy.utils.filtered_mapping_proxy) FIT (AlgorithmType attribute), [1] fit() (BaseModel method), [1] (ModelInterface method), [1] FIT_LME (AlgorithmName attribute), [1] FIT_MCMC_SAEM (AlgorithmName attribute), [1] fit_metrics (McmcSaemCompatibleModel attribute), [1] FitAlgorithm (class in leaspy.algo.fit) (class in leaspy.algo.fit.base) FitOutputManager (class in leaspy.algo.fit) (class in leaspy.algo.fit.fit_output_manager) Fixed effects model fixed_shape (DataVariable attribute) (Hyperparameter attribute) (IndividualLatentVariable attribute) (LinkedVariable attribute) (ModelParameter attribute) (PopulationLatentVariable attribute) (VariableInterface attribute)

for_ind_mean() (ModelParameter class method) for_ind_mean_mixture() (ModelParameter class method) for_ind_std() (ModelParameter class method) for_ind_std_mixture() (ModelParameter class method) for_pop_mean() (ModelParameter class method) for_probs() (ModelParameter class method) FORBIDDEN_NAMES (NamedVariables attribute) force_independent_random_effects (LMEFitAlgorithm attribute), [1] format_convergence_issues (ScipyMinimizeAlgorithm attribute), [1] from_csv_file() (Data static method), [1] from_dataframe() (Data static method), [1] (IndividualParameters static method), [1] from_dict() (VariablesDAG class method), [1] from_individual_values() (Data static method), [1] from_individuals() (Data static method), [1] from_pdf() (MultinomialCdfDistribution class method) from_pytorch() (IndividualParameters static method), [1] from_sf() (MultinomialDistribution class method) from_string() (DataframeDataReaderNames class method), [1] (ObservationModelNames class method) FullGaussianObservationModel (class in leaspy.models.obs_models)

G

g_deltas_exp() (SharedSpeedLogisticModel static method), [1] g_metric() (SharedSpeedLogisticModel static method), [1] gamma_t0() (SharedSpeedLogisticModel static method), [1] GAUSSIAN_DIAGONAL (ObservationModelNames attribute) GAUSSIAN_SCALAR (ObservationModelNames attribute) GaussianObservationModel (class in leaspy.models.obs_models) get_aggregate() (IndividualParameters method), [1] get_algorithm_class() (in module leaspy.algo) (in module leaspy.algo.base) get_algorithm_type() (in module leaspy.algo) (in module leaspy.algo.base) get_ancestors_names() (IndepVariable method) (LinkedVariable method) (VariableInterface method) get_attributes() (AbstractAttributes method) (AbstractManifoldModelAttributes method) (LogisticParallelAttributes method), [1] get_cofactor_distribution() (Result method), [1] get_cofactor_states() (Result static method), [1] get_covariates_patient() (Dataset method), [1] get_dataframe_individual_parameters() (Result method), [1] get_dataset_path() (in module leaspy.datasets) (in module leaspy.datasets.loader) get_error_distribution_dataframe() (Result method), [1] get_event_patient() (Dataset method), [1] get_filled_value_and_weight() (WeightedTensor static method) get_func() (SymbolicDistribution method) get_func_nll() (SymbolicDistribution method) get_func_nll_and_jacobian() (SymbolicDistribution method) get_func_nll_jacobian() (SymbolicDistribution method) get_func_regularization() (SymbolicDistribution method) get_func_sample() (SymbolicDistribution method) get_func_sample_multivariate() (SymbolicDistribution method) get_individual_parameter_path() (in module leaspy.datasets) (in module leaspy.datasets.loader) get_init_func() (IndividualLatentVariable method) (PopulationLatentVariable method)

get_lme_results() (in module leaspy.models.utils.initialization.model_initialization) get_log_velocities() (in module leaspy.models.utilities) get_mean() (IndividualParameters method), [1] get_model_path() (in module leaspy.datasets) (in module leaspy.datasets.loader) get_named_parameters() (in module leaspy.utils.functional) get_nll_attach_var_name() (ObservationModel method) get_one_hot_encoding() (Dataset method), [1] get_parameter_distribution() (Result method), [1] get_patient_individual_parameters() (Result method), [1] get_prior_shape() (LatentVariable method) get_regularity_variables() (IndividualLatentVariable method) (LatentVariable method) (PopulationLatentVariable method) get_std() (IndividualParameters method), [1] get_tensor_value() (State method) get_tensor_values() (State method) get_times_patient() (Dataset method), [1] get_torch_individual_parameters() (Result method), [1] get_values_patient() (Dataset method), [1] get_variables_specs() (AbstractWeibullRightCensoredObservationModel method) (JointModel method), [1] (LinearModel method), [1] (LogisticModel method), [1] (LogisticMultivariateMixtureModel method), [1] (McmcSaemCompatibleModel method), [1] (ObservationModel method) (RiemanianManifoldMixtureModel method) (RiemanianManifoldModel method), [1] (SharedSpeedLogisticModel method), [1] (StatefulModel method), [1] (TimeReparametrizedMixtureModel method) (TimeReparametrizedModel method), [1] getter (ObservationModel attribute) getter() (AbstractWeibullRightCensoredObservationModel static method) GibbsSamplerMixin (class in leaspy.samplers.gibbs)

H

has_observation_model_with_name() (McmcSaemCompatibleModel method), [1] has_sources (AbstractAttributes attribute) (TimeReparametrizedMixtureModel property) (TimeReparametrizedModel property), [1] headers (Data attribute), [1] (Dataset attribute), [1]

Hyperparameter (class in leaspy.variables.specs) hyperparameters (ConstantModel property), [1] (LMEModel property), [1] (ModelInterface property), [1] (ModelSettings attribute), [1] (StatefulModel property), [1] hyperparameters_names (StatefulModel property), [1]

I

ID_to_idx (Result attribute), [1] Identity (in module leaspy.utils.functional) IDType (in module leaspy.utils.typing) idx (IndividualData attribute), [1] IndepVariable (class in leaspy.variables.specs) index_put() (WeightedTensor method) indices (Dataset attribute), [1] individual_parameters (Result attribute), [1] INDIVIDUAL_SAMPLERS (in module leaspy.samplers) (in module leaspy.samplers.factory) individual_variable_names (VariablesDAG property), [1] individual_variables_names (StatefulModel property), [1] IndividualData (class in leaspy.io.data) (class in leaspy.io.data.individual_data) IndividualGibbsSampler (class in leaspy.samplers) (class in leaspy.samplers.gibbs) IndividualLatentVariable (class in leaspy.variables.specs) IndividualParameters (class in leaspy.io.outputs) (class in leaspy.io.outputs.individual_parameters) individuals (AbstractDataframeDataReader attribute), [1] (Data attribute), [1] init_tolerance (JointModel attribute), [1]

initialization_method (BaseModel attribute), [1] InitializationMethod (class in leaspy.models.base) initialize() (BaseModel method), [1] (StatefulModel method), [1] initialize_parameters() (in module leaspy.models.utils.initialization.model_initialization) is_array_like() (in module leaspy.models.utilities) is_current_iteration_in_last_n() (TensorMcmcSaemAlgorithm method), [1] is_initialized (BaseModel property), [1] (ModelInterface property), [1] is_jacobian_implemented() (ScipyMinimizeAlgorithm method), [1] is_settable (DataVariable attribute) (Hyperparameter attribute) (LatentVariable attribute) (LinkedVariable attribute) (ModelParameter attribute) (VariableInterface attribute) is_variable_set() (State method) items() (IndividualParameters method), [1] iter_to_idx (AbstractDataframeDataReader attribute), [1] (Data attribute), [1] iteration() (FitOutputManager method), [1] IterativeAlgorithm (class in leaspy.algo.base) IteratorIndicesType (in module leaspy.samplers.gibbs)

J

JOINT (DataframeDataReaderNames attribute), [1] (ModelName attribute), [1] JointDataframeDataReader (class in leaspy.io.data) (class in leaspy.io.data.joint_dataframe_data_reader)

JointModel (class in leaspy.models) (class in leaspy.models.joint) JSON

K

KwargsType (in module leaspy.utils.typing)

kws (NamedInputFunction attribute)

L

L2_norm (Dataset attribute), [1] L2_norm_per_ft (Dataset attribute), [1] LatentVariable (class in leaspy.variables.specs) LatentVariableInitType (class in leaspy.variables.specs) leaspy module leaspy.algo module leaspy.algo.algo_with_annealing module leaspy.algo.algo_with_device module leaspy.algo.algo_with_samplers module leaspy.algo.base module leaspy.algo.fit module leaspy.algo.fit.base module leaspy.algo.fit.fit_output_manager module leaspy.algo.fit.lme_fit module leaspy.algo.fit.mcmc_saem module leaspy.algo.personalize module leaspy.algo.personalize.base module leaspy.algo.personalize.constant_prediction_algo module leaspy.algo.personalize.lme_personalize module leaspy.algo.personalize.mcmc module leaspy.algo.personalize.mean_posterior module leaspy.algo.personalize.mode_posterior module leaspy.algo.personalize.scipy_minimize module leaspy.algo.settings module leaspy.algo.simulate module leaspy.algo.simulate.base module leaspy.algo.simulate.simulate module leaspy.constants module leaspy.datasets module leaspy.datasets.loader module leaspy.exceptions module leaspy.io module leaspy.io.data module leaspy.io.data.abstract_dataframe_data_reader module leaspy.io.data.covariate_dataframe_data_reader module leaspy.io.data.data module leaspy.io.data.dataset module leaspy.io.data.event_dataframe_data_reader module leaspy.io.data.factory module leaspy.io.data.individual_data module leaspy.io.data.joint_dataframe_data_reader module leaspy.io.data.visit_dataframe_data_reader module leaspy.io.logs module leaspy.io.logs.visualization module leaspy.io.logs.visualization.plotter module leaspy.io.logs.visualization.plotting module leaspy.io.outputs module leaspy.io.outputs.individual_parameters module leaspy.io.outputs.result module leaspy.models module leaspy.models.base module leaspy.models.constant module leaspy.models.factory module leaspy.models.joint module leaspy.models.linear module leaspy.models.lme module leaspy.models.logistic module leaspy.models.mcmc_saem_compatible module leaspy.models.mixture module leaspy.models.obs_models module leaspy.models.riemanian_manifold module leaspy.models.settings module leaspy.models.shared_speed_logistic module leaspy.models.stateful module leaspy.models.stateless module

leaspy.models.time_reparametrized module leaspy.models.utilities module leaspy.models.utils module leaspy.models.utils.attributes module leaspy.models.utils.attributes.abstract_attributes module leaspy.models.utils.attributes.abstract_manifold_model_attributes module leaspy.models.utils.attributes.attributes_factory module leaspy.models.utils.attributes.linear_attributes module leaspy.models.utils.attributes.logistic_attributes module leaspy.models.utils.attributes.logistic_parallel_attributes module leaspy.models.utils.initialization module leaspy.models.utils.initialization.model_initialization module leaspy.samplers module leaspy.samplers.base module leaspy.samplers.factory module leaspy.samplers.gibbs module leaspy.utils module leaspy.utils.distributions module leaspy.utils.docs module leaspy.utils.filtered_mapping_proxy module leaspy.utils.functional module leaspy.utils.linalg module leaspy.utils.subtypes module leaspy.utils.typing module leaspy.utils.weighted_tensor module leaspy.variables module leaspy.variables.dag module leaspy.variables.distributions module leaspy.variables.specs module leaspy.variables.state module leaspy.variables.utilities module LeaspyAlgoInputError LeaspyConvergenceError LeaspyDataInputError LeaspyException LeaspyIndividualParamsInputError LeaspyInputError LeaspyModelInputError LeaspyTypeError Likelihood LINEAR (ModelName attribute), [1] LinearAttributes (class in leaspy.models.utils.attributes) (class in leaspy.models.utils.attributes.linear_attributes) LinearInitializationMixin (class in leaspy.models.linear) LinearModel (class in leaspy.models) (class in leaspy.models.linear) linestyle (Plotting attribute), [1] linewidth (Plotting attribute), [1] LinkedVariable (class in leaspy.variables.specs) LME (ModelName attribute), [1] lme_init() (in module leaspy.models.utils.initialization.model_initialization) LMEFitAlgorithm (class in leaspy.algo.fit) (class in leaspy.algo.fit.lme_fit) LMEModel (class in leaspy.models) (class in leaspy.models.lme) LMEPersonalizeAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.lme_personalize) load() (AlgorithmSettings class method), [1] (BaseModel class method), [1] (IndividualParameters class method), [1] (ModelInterface class method), [1] load_cofactors() (Data method), [1] load_dataset() (in module leaspy.datasets) (in module leaspy.datasets.loader) load_individual_parameters() (in module leaspy.datasets) (in module leaspy.datasets.loader) (Result class method), [1] load_individual_parameters_from_csv() (Result class method), [1] load_individual_parameters_from_dataframe() (Result static method), [1] load_individual_parameters_from_json() (Result static method), [1] load_individual_parameters_from_torch() (Result static method), [1] load_model() (in module leaspy.datasets) (in module leaspy.datasets.loader) load_parameters() (BaseAlgorithm method), [1] (BaseModel method), [1] (StatefulModel method), [1] (StatelessModel method), [1] load_result() (Result class method), [1] log_current_iteration() (TensorMcmcSaemAlgorithm method), [1] logger (ScipyMinimizeAlgorithm attribute), [1] LOGISTIC (ModelName attribute), [1] LogisticAttributes (class in leaspy.models.utils.attributes) (class in leaspy.models.utils.attributes.logistic_attributes) LogisticInitializationMixin (class in leaspy.models.logistic) LogisticMixtureInitializationMixin (class in leaspy.models.mixture) LogisticModel (class in leaspy.models) (class in leaspy.models.logistic) LogisticMultivariateMixtureModel (class in leaspy.models) (class in leaspy.models.mixture) LogisticParallelAttributes (class in leaspy.models.utils.attributes) (class in leaspy.models.utils.attributes.logistic_parallel_attributes) logs (AlgorithmSettings attribute), [1] (FitAlgorithm attribute), [1] long_outcome_names (CovariateDataframeDataReader property) (JointDataframeDataReader property), [1] Longitudinal data

M

map() (WeightedTensor method) map_both() (WeightedTensor method) mapping (FilteredMappingProxy attribute) mask (AbstractPopulationSampler attribute), [1] (Dataset attribute), [1] MatMul (in module leaspy.utils.functional) MCMC MCMC-SAEM McmcPersonalizeAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.mcmc) McmcSaemCompatibleModel (class in leaspy.models) (class in leaspy.models.mcmc_saem_compatible) Mean (in module leaspy.utils.functional) mean (SymbolicDistribution attribute) mean() (AbstractWeibullRightCensoredFamily class method) (MixtureNormalFamily class method) (MultivariateNormalFamily class method) (NormalFamily class method) (StatelessDistributionFamily class method) (StatelessDistributionFamilyFromTorchDistribution class method) MeanPosteriorAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.mean_posterior) metric() (LinearModel static method), [1] (LogisticModel static method), [1] (LogisticMultivariateMixtureModel static method), [1] (RiemanianManifoldMixtureModel static method) (RiemanianManifoldModel static method), [1] (SharedSpeedLogisticModel static method), [1] Mixed model Mixing matrix mixing_matrix (AbstractManifoldModelAttributes attribute) MIXTURE_LOGISTIC (ModelName attribute), [1] MixtureNormalFamily (class in leaspy.variables.distributions) MMSE mode (SymbolicDistribution attribute) mode() (AbstractWeibullRightCensoredFamily class method) (MixtureNormalFamily class method) (MultivariateNormalFamily class method) (NormalFamily class method) (StatelessDistributionFamily class method) (StatelessDistributionFamilyFromTorchDistribution class method) model (Plotting attribute), [1] model_factory() (in module leaspy.models) (in module leaspy.models.factory) model_no_sources() (RiemanianManifoldMixtureModel class method) (RiemanianManifoldModel class method), [1] (SharedSpeedLogisticModel class method), [1] model_with_sources() (LinearModel class method), [1] (LogisticModel class method), [1] (LogisticMultivariateMixtureModel class method), [1] (RiemanianManifoldMixtureModel class method) (RiemanianManifoldModel class method), [1] (SharedSpeedLogisticModel class method), [1] ModelInterface (class in leaspy.models) (class in leaspy.models.base) ModelName (class in leaspy.models) (class in leaspy.models.factory) ModelParameter (class in leaspy.variables.specs) ModelSettings (class in leaspy.models) (class in leaspy.models.settings) ModelType (in module leaspy.algo.base) ModePosteriorAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.mode_posterior) module leaspy leaspy.algo leaspy.algo.algo_with_annealing leaspy.algo.algo_with_device leaspy.algo.algo_with_samplers leaspy.algo.base leaspy.algo.fit leaspy.algo.fit.base leaspy.algo.fit.fit_output_manager leaspy.algo.fit.lme_fit leaspy.algo.fit.mcmc_saem leaspy.algo.personalize leaspy.algo.personalize.base leaspy.algo.personalize.constant_prediction_algo leaspy.algo.personalize.lme_personalize leaspy.algo.personalize.mcmc leaspy.algo.personalize.mean_posterior leaspy.algo.personalize.mode_posterior leaspy.algo.personalize.scipy_minimize leaspy.algo.settings leaspy.algo.simulate leaspy.algo.simulate.base leaspy.algo.simulate.simulate leaspy.constants leaspy.datasets leaspy.datasets.loader leaspy.exceptions leaspy.io leaspy.io.data leaspy.io.data.abstract_dataframe_data_reader leaspy.io.data.covariate_dataframe_data_reader leaspy.io.data.data leaspy.io.data.dataset leaspy.io.data.event_dataframe_data_reader leaspy.io.data.factory leaspy.io.data.individual_data leaspy.io.data.joint_dataframe_data_reader leaspy.io.data.visit_dataframe_data_reader leaspy.io.logs leaspy.io.logs.visualization leaspy.io.logs.visualization.plotter leaspy.io.logs.visualization.plotting leaspy.io.outputs leaspy.io.outputs.individual_parameters leaspy.io.outputs.result leaspy.models leaspy.models.base leaspy.models.constant leaspy.models.factory leaspy.models.joint leaspy.models.linear leaspy.models.lme leaspy.models.logistic leaspy.models.mcmc_saem_compatible leaspy.models.mixture leaspy.models.obs_models leaspy.models.riemanian_manifold leaspy.models.settings leaspy.models.shared_speed_logistic leaspy.models.stateful leaspy.models.stateless leaspy.models.time_reparametrized leaspy.models.utilities leaspy.models.utils leaspy.models.utils.attributes leaspy.models.utils.attributes.abstract_attributes leaspy.models.utils.attributes.abstract_manifold_model_attributes leaspy.models.utils.attributes.attributes_factory leaspy.models.utils.attributes.linear_attributes leaspy.models.utils.attributes.logistic_attributes leaspy.models.utils.attributes.logistic_parallel_attributes leaspy.models.utils.initialization leaspy.models.utils.initialization.model_initialization leaspy.samplers leaspy.samplers.base leaspy.samplers.factory leaspy.samplers.gibbs leaspy.utils leaspy.utils.distributions leaspy.utils.docs leaspy.utils.filtered_mapping_proxy leaspy.utils.functional leaspy.utils.linalg leaspy.utils.subtypes leaspy.utils.typing leaspy.utils.weighted_tensor leaspy.variables leaspy.variables.dag leaspy.variables.distributions leaspy.variables.specs leaspy.variables.state leaspy.variables.utilities

move_to_device() (AbstractAttributes method) (Dataset method), [1] (StatefulModel method), [1] multi_dist_factory() (MultivariateNormalFamily class method) MultinomialCdfDistribution (class in leaspy.utils.distributions) MultinomialDistribution (class in leaspy.utils.distributions) MultivariateNormalFamily (class in leaspy.variables.distributions)

N

n_individuals (AbstractDataframeDataReader attribute), [1] (Data property), [1] (Dataset attribute), [1] n_observations (Dataset attribute), [1] n_observations_per_ft (Dataset attribute), [1] n_observations_per_ind_per_ft (Dataset attribute), [1] n_patients (AbstractIndividualSampler attribute), [1] n_visits (CovariateDataframeDataReader property) (Data property), [1] (Dataset attribute), [1] (JointDataframeDataReader property), [1] n_visits_max (Dataset attribute), [1] n_visits_per_individual (Dataset attribute), [1] name (AbstractAttributes attribute) (AbstractSampler attribute), [1] (AlgorithmSettings attribute), [1] (BaseAlgorithm attribute), [1] (BaseModel property), [1] (ConstantPredictionAlgorithm attribute), [1] (LMEFitAlgorithm attribute), [1] (LMEPersonalizeAlgorithm attribute), [1] (MeanPosteriorAlgorithm attribute), [1] (ModelInterface property), [1] (ModelSettings attribute), [1] (ModePosteriorAlgorithm attribute), [1] (ObservationModel attribute) (ScipyMinimizeAlgorithm attribute), [1] (SimulationAlgorithm attribute) (TensorMcmcSaemAlgorithm attribute), [1]

NamedInputFunction (class in leaspy.utils.functional) NamedVariables (class in leaspy.variables.specs) nb_events (EventDataframeDataReader attribute), [1] nb_of_patients_to_plot (FitOutputManager attribute), [1] (OutputsSettings attribute), [1] ndim (AbstractSampler property), [1] (WeightedTensor property) nll() (StatelessDistributionFamily class method) nll_and_jacobian() (StatelessDistributionFamily class method) nll_constant_standard (MixtureNormalFamily attribute) (MultivariateNormalFamily attribute) (NormalFamily attribute) nll_jacobian() (StatelessDistributionFamily class method) no_warning (Dataset attribute), [1] NOISE_STD (in module leaspy.models.utils.initialization.model_initialization) noise_std (Result attribute), [1] (TimeReparametrizedMixtureModel property) (TimeReparametrizedModel property), [1] noise_std_specs() (FullGaussianObservationModel class method) noise_std_suff_stats() (FullGaussianObservationModel class method) Normal (in module leaspy.variables.distributions) NormalFamily (class in leaspy.variables.distributions)

O

obj_no_jac() (ScipyMinimizeAlgorithm method), [1] obj_with_jac() (ScipyMinimizeAlgorithm method), [1] obs_models (McmcSaemCompatibleModel attribute), [1] observation_model_factory() (in module leaspy.models.obs_models) observation_model_names (McmcSaemCompatibleModel property), [1] OBSERVATION_MODELS (in module leaspy.models.obs_models) ObservationModel (class in leaspy.models.obs_models) ObservationModelFactoryInput (in module leaspy.models.obs_models) ObservationModelNames (class in leaspy.models.obs_models)

observations (IndividualData attribute), [1] OrthoBasis (in module leaspy.utils.functional) orthonormal_basis (AbstractManifoldModelAttributes attribute) output_manager (BaseAlgorithm attribute), [1] output_path (Plotter attribute), [1] (Plotting attribute), [1] OutputsSettings (class in leaspy.algo) (class in leaspy.algo.settings) Overfitting

P

pad_deltas() (SharedSpeedLogisticModel static method), [1] parameter_convergence_path (OutputsSettings attribute), [1] parameters (AlgorithmSettings attribute), [1] (BernoulliFamily attribute) (LinkedVariable attribute) (MixtureNormalFamily attribute) (ModelInterface property), [1] (ModelSettings attribute), [1] (MultivariateNormalFamily attribute) (NamedInputFunction attribute) (NormalFamily attribute) (StatefulModel property), [1] (StatelessDistributionFamily attribute) (StatelessModel property), [1] (WeibullRightCensoredFamily attribute) (WeibullRightCensoredWithSourcesFamily attribute) parameters_names (StatefulModel property), [1] (SymbolicDistribution attribute) ParamType (in module leaspy.utils.typing) PARKINSON (DatasetName attribute), [1] PARKINSON_PUTAMEN (DatasetName attribute), [1] PARKINSON_PUTAMEN_TRAIN_TEST (DatasetName attribute), [1] patient_observations() (Plotting method), [1] patient_observations_reparametrized() (Plotting method), [1] patient_trajectories() (Plotting method), [1] patients_plot_path (OutputsSettings attribute), [1] periodicity_plot (FitOutputManager attribute), [1] periodicity_plot_patients (FitOutputManager attribute), [1] periodicity_print (FitOutputManager attribute), [1] periodicity_save (FitOutputManager attribute), [1] Personalization PERSONALIZE (AlgorithmType attribute), [1] personalize() (BaseModel method), [1] (ModelInterface method), [1] PERSONALIZE_CONSTANT (AlgorithmName attribute), [1] PERSONALIZE_LME (AlgorithmName attribute), [1] PERSONALIZE_MEAN_POSTERIOR (AlgorithmName attribute), [1] PERSONALIZE_MODE_POSTERIOR (AlgorithmName attribute), [1] PERSONALIZE_SCIPY_MINIMIZE (AlgorithmName attribute), [1] PersonalizeAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.base) pkg_deps (in module leaspy) plot_convergence_model_parameters() (Plotter static method), [1] plot_correlation() (Plotter method), [1] plot_distribution() (Plotter method), [1] plot_error() (Plotter class method), [1] plot_from_individual_parameters() (Plotter method), [1]

plot_mean_trajectory() (Plotter method), [1] plot_mean_validity() (Plotter method), [1] plot_param_ind() (Plotter static method), [1] plot_path (OutputsSettings attribute), [1] plot_patient_periodicity (OutputsSettings attribute), [1] plot_patient_reconstructions() (Plotter class method), [1] plot_patient_trajectory() (Plotter method), [1] plot_patients_mapped_on_mean_trajectory() (Plotter method), [1] plot_periodicity (OutputsSettings attribute), [1] plot_sourcewise (FitOutputManager attribute), [1] (OutputsSettings attribute), [1] Plotter (class in leaspy.io.logs.visualization) (class in leaspy.io.logs.visualization.plotter) Plotting (class in leaspy.io.logs.visualization) (class in leaspy.io.logs.visualization.plotting) plt_show() (Plotter method), [1] POPULATION_SAMPLERS (in module leaspy.samplers) (in module leaspy.samplers.factory) population_variables_names (StatefulModel property), [1] PopulationFastGibbsSampler (class in leaspy.samplers) (class in leaspy.samplers.gibbs) PopulationGibbsSampler (class in leaspy.samplers) (class in leaspy.samplers.gibbs) PopulationLatentVariable (class in leaspy.variables.specs) PopulationMetropolisHastingsSampler (class in leaspy.samplers) (class in leaspy.samplers.gibbs) positions (AbstractManifoldModelAttributes attribute) precision (AbstractWeibullRightCensoredFamily attribute) precompute_all() (State method) prediction_type (ConstantPredictionAlgorithm attribute), [1] print_algo_statistics() (FitOutputManager method), [1] print_model_statistics() (FitOutputManager method), [1] print_periodicity (OutputsSettings attribute), [1] print_time() (FitOutputManager method), [1] prior (LatentVariable attribute) PRIOR_MEAN (LatentVariableInitType attribute) PRIOR_MODE (LatentVariableInitType attribute) PRIOR_SAMPLES (LatentVariableInitType attribute) Prod (in module leaspy.utils.functional) put() (State method) put_data_variables() (McmcSaemCompatibleModel method), [1] put_individual_latent_variables() (State method) put_individual_parameters() (JointModel method), [1] (McmcSaemCompatibleModel method), [1] (TimeReparametrizedMixtureModel method) (TimeReparametrizedModel method), [1] put_population_latent_variables() (State method)

R

R (in module leaspy.utils.docs) RANDOM (InitializationMethod attribute) (VisitType attribute) Random effects model random_order_variables (AlgorithmWithSamplersMixin attribute) read() (AbstractDataframeDataReader method), [1] REF (StateForkType attribute) Regularity regularity_factor (ModePosteriorAlgorithm attribute), [1] (ScipyMinimizeAlgorithm attribute), [1] Regularization

regularization() (StatelessDistributionFamily class method) requires_grad (WeightedTensor property) reset_data_variables() (McmcSaemCompatibleModel method), [1] Result (class in leaspy.io.outputs) (class in leaspy.io.outputs.result) ReturnType (in module leaspy.algo.base) revert() (State method) RiemanianManifoldMixtureModel (class in leaspy.models.mixture) RiemanianManifoldModel (class in leaspy.models) (class in leaspy.models.riemanian_manifold) root_path (OutputsSettings attribute), [1] run() (BaseAlgorithm method), [1]

S

sample() (AbstractPopulationGibbsSampler method) (AbstractSampler method), [1] (AbstractWeibullRightCensoredFamily class method) (IndividualGibbsSampler method), [1] (MixtureNormalFamily class method) (MultinomialCdfDistribution method) (StatelessDistributionFamily class method) (StatelessDistributionFamilyFromTorchDistribution class method) sampler_factory() (in module leaspy.samplers) (in module leaspy.samplers.factory) SamplerFactoryInput (in module leaspy.samplers.factory) samplers (AlgorithmWithSamplersMixin attribute) sampling_kws (LatentVariable attribute) save() (AlgorithmSettings method), [1] (BaseModel method), [1] (IndividualParameters method), [1] (ModelInterface method), [1] (State method) save_individual_parameters_csv() (Result method), [1] save_individual_parameters_json() (Result method), [1] save_individual_parameters_torch() (Result method), [1] save_model_parameters_convergence() (FitOutputManager method), [1] save_periodicity (OutputsSettings attribute), [1] save_plot_convergence_model_parameters() (FitOutputManager method), [1] save_plot_patient_reconstructions() (FitOutputManager method), [1] scalar_noise_std_update() (FullGaussianObservationModel class method) scale (GibbsSamplerMixin attribute) scipy_minimize_params (ScipyMinimizeAlgorithm attribute), [1] ScipyMinimizeAlgorithm (class in leaspy.algo.personalize) (class in leaspy.algo.personalize.scipy_minimize) seed (AlgorithmSettings attribute), [1] (BaseAlgorithm attribute), [1] serialize_tensor() (in module leaspy.models.utilities) serialized() (ObservationModel method) set_component_distribution() (MixtureNormalFamily class method) set_logs() (AlgorithmSettings method), [1] set_output_manager() (BaseAlgorithm method), [1] (FitAlgorithm method), [1] (LMEFitAlgorithm method), [1] (LMEPersonalizeAlgorithm method), [1] (PersonalizeAlgorithm method), [1] set_palette() (Plotting method), [1] shape (AbstractSampler attribute), [1] (Hyperparameter property) (ModelParameter attribute) (SymbolicDistribution attribute) (WeightedTensor property) shape() (StatelessDistributionFamily class method) shape_acceptation (AbstractSampler property), [1] (GibbsSamplerMixin property) shape_adapted_std (GibbsSamplerMixin property) (IndividualGibbsSampler property), [1] (PopulationFastGibbsSampler property), [1] (PopulationGibbsSampler property), [1] (PopulationMetropolisHastingsSampler property), [1] SHARED_SPEED_LOGISTIC (ModelName attribute), [1] SharedSpeedLogisticModel (class in leaspy.models) (class in leaspy.models.shared_speed_logistic) should_current_iteration_be_saved() (TensorMcmcSaemAlgorithm method), [1]

SIMULATE (AlgorithmName attribute), [1] (AlgorithmType attribute), [1] simulate() (BaseModel method), [1] (ModelInterface method), [1] SimulationAlgorithm (class in leaspy.algo.simulate.simulate) sm_fit_parameters (LMEFitAlgorithm attribute), [1] sorted_ancestors (VariablesDAG attribute), [1] sorted_children (VariablesDAG attribute), [1] sorted_variables_by_type (VariablesDAG attribute), [1] sorted_variables_names (VariablesDAG attribute), [1] source_dimension (AbstractAttributes attribute) (TimeReparametrizedMixtureModel attribute) (TimeReparametrizedModel property), [1] Sources sources_mean (TimeReparametrizedMixtureModel property) SOURCES_STD (in module leaspy.models.utils.initialization.model_initialization) sources_std (TimeReparametrizedMixtureModel property) (TimeReparametrizedModel property), [1] Space shifts Spatial effects Sqr (in module leaspy.utils.functional) standard_size (Plotting attribute), [1] State (class in leaspy.variables.state) state (StatefulModel property), [1] StateForkType (class in leaspy.variables.state) StatefulModel (class in leaspy.models) (class in leaspy.models.stateful) StatelessDistributionFamily (class in leaspy.variables.distributions) StatelessDistributionFamilyFromTorchDistribution (class in leaspy.variables.distributions) StatelessModel (class in leaspy.models) (class in leaspy.models.stateless) std (GibbsSamplerMixin attribute) Std (in module leaspy.utils.functional) STD_SCALE_FACTOR (AbstractPopulationGibbsSampler attribute) (GibbsSamplerMixin attribute) (IndividualGibbsSampler attribute), [1] stddev (SymbolicDistribution attribute) stddev() (AbstractWeibullRightCensoredFamily class method) (MixtureNormalFamily class method) (MultivariateNormalFamily class method) (NormalFamily class method) (StatelessDistributionFamily class method) (StatelessDistributionFamilyFromTorchDistribution class method) string_for_json (BernoulliObservationModel attribute) (WeibullRightCensoredObservationModel attribute) (WeibullRightCensoredWithSourcesObservationModel attribute) subset (FilteredMappingProxy attribute) subset() (IndividualParameters method), [1] suff_stats (ModelParameter attribute) Sufficient statistics sufficient_statistics (FitAlgorithm attribute), [1] suffixed_method() (in module leaspy.utils.subtypes) SuffStatsRO (in module leaspy.variables.specs) SuffStatsRW (in module leaspy.variables.specs) Sum (in module leaspy.utils.functional) sum() (WeightedTensor method) sum_dim() (in module leaspy.utils.weighted_tensor) SumDim (in module leaspy.utils.functional) Survival data SymbolicDistribution (class in leaspy.variables.distributions)

T

T (in module leaspy.utils.docs) TAU_STD (in module leaspy.models.utils.initialization.model_initialization) tau_std (TimeReparametrizedMixtureModel property) (TimeReparametrizedModel property), [1] temperature (AlgorithmWithAnnealingMixin attribute) temperature_inv (AlgorithmWithAnnealingMixin attribute) tensor_to_list() (in module leaspy.models.utilities) tensorize_2D() (in module leaspy.models.utilities) TensorMcmcSaemAlgorithm (class in leaspy.algo.fit) (class in leaspy.algo.fit.mcmc_saem) TensorOrWeightedTensor (in module leaspy.utils.weighted_tensor) then() (NamedInputFunction method) time (FitOutputManager attribute), [1] time_reparametrization() (TimeReparametrizedMixtureModel static method) (TimeReparametrizedModel static method), [1] time_rounding_digits (AbstractDataframeDataReader attribute), [1] timepoints (Dataset attribute), [1] (IndividualData attribute), [1] TimeReparametrizedMixtureModel (class in leaspy.models.mixture) TimeReparametrizedModel (class in leaspy.models) (class in leaspy.models.time_reparametrized) to() (WeightedTensor method) to_cache() (StateForkType method) to_dataframe() (Data method), [1] (IndividualParameters method), [1]

to_device() (Hyperparameter method) (State method) to_dict() (BaseModel method), [1] (JointModel method), [1] (McmcSaemCompatibleModel method), [1] (ObservationModel method) (TimeReparametrizedMixtureModel method) (TimeReparametrizedModel method), [1] to_frame() (IndividualData method), [1] to_pandas() (Dataset method), [1] to_pytorch() (IndividualParameters method), [1] to_string() (FullGaussianObservationModel method) (ObservationModel method) tol_diff (JointDataframeDataReader attribute), [1] tol_noise_variance (FullGaussianObservationModel attribute) torch_round() (in module leaspy.models.utilities) track_variable() (State method) (StatefulModel method), [1] track_variables() (State method) (StatefulModel method), [1] tracked_variables (RiemanianManifoldMixtureModel attribute) (State property) (StatefulModel attribute), [1] tracked_variables_ordered (RiemanianManifoldMixtureModel attribute)

U

univariate (AbstractAttributes attribute) unsqueeze_right() (in module leaspy.utils.weighted_tensor) untrack_variable() (State method) (StatefulModel method), [1] untrack_variables() (State method) (StatefulModel method), [1] update() (AbstractAttributes method) (LinearAttributes method), [1] (LogisticAttributes method), [1] (LogisticParallelAttributes method), [1]

update_parameters() (McmcSaemCompatibleModel class method), [1] update_possibilities (AbstractAttributes attribute) (AbstractManifoldModelAttributes attribute) (LogisticParallelAttributes attribute), [1] update_rule (ModelParameter attribute) update_rule_burn_in (ModelParameter attribute)

V

val_to_tensor() (in module leaspy.models.utilities) VALID_IO_EXTENSIONS (IndividualParameters attribute), [1] validate_parameters (SymbolicDistribution attribute) validate_parameters() (AbstractWeibullRightCensoredFamily class method) (StatelessDistributionFamily class method) (StatelessDistributionFamilyFromTorchDistribution class method) validate_scale() (AbstractPopulationGibbsSampler method) (GibbsSamplerMixin method) (IndividualGibbsSampler method), [1] value (Hyperparameter attribute) (WeightedTensor attribute) valued() (WeightedTensor method) values (Dataset attribute), [1] VariableInterface (class in leaspy.variables.specs) VariableName (in module leaspy.variables.specs) VariableNameToValueMapping (in module leaspy.variables.specs)

variables (Collect property) (VariablesDAG attribute), [1] VariablesDAG (class in leaspy.variables) (class in leaspy.variables.dag) VariablesLazyValuesRO (in module leaspy.variables.specs) VariablesLazyValuesRW (in module leaspy.variables.specs) VariablesToFrozenSet (in module leaspy.variables.specs) VariableValue (in module leaspy.variables.specs) velocities (AbstractManifoldModelAttributes attribute) view() (WeightedTensor method) VISIT (DataframeDataReaderNames attribute), [1] visit_reader (CovariateDataframeDataReader attribute) (JointDataframeDataReader attribute), [1] visit_type (SimulationAlgorithm attribute) VisitDataframeDataReader (class in leaspy.io.data) (class in leaspy.io.data.visit_dataframe_data_reader) VisitType (class in leaspy.algo.simulate.simulate)

W

WEIBULL_RIGHT_CENSORED (ObservationModelNames attribute) WEIBULL_RIGHT_CENSORED_WITH_SOURCES (ObservationModelNames attribute) WeibullRightCensored (in module leaspy.variables.distributions) WeibullRightCensoredFamily (class in leaspy.variables.distributions) WeibullRightCensoredObservationModel (class in leaspy.models.obs_models) WeibullRightCensoredWithSources (in module leaspy.variables.distributions) WeibullRightCensoredWithSourcesFamily (class in leaspy.variables.distributions) WeibullRightCensoredWithSourcesObservationModel (class in leaspy.models.obs_models)

weight (WeightedTensor attribute) weighted_value (WeightedTensor property) WeightedTensor (class in leaspy.utils.weighted_tensor) with_noise_std_as_model_parameter() (FullGaussianObservationModel class method) with_random_slope_age (LMEModel attribute), [1] wsum() (WeightedTensor method) wsum_dim() (in module leaspy.utils.weighted_tensor) wsum_dim_return_sum_of_weights_only() (in module leaspy.utils.weighted_tensor) wsum_dim_return_weighted_sum_only() (in module leaspy.utils.weighted_tensor)

X

xi_mean (TimeReparametrizedMixtureModel property) XI_STD (in module leaspy.models.utils.initialization.model_initialization)

xi_std (TimeReparametrizedMixtureModel property) (TimeReparametrizedModel property), [1]

Y

y_getter() (BernoulliObservationModel static method) (FullGaussianObservationModel static method)